Method For Estimating A Quantity Of A Blood Component In A Fluid Receiver And Corresponding Error

1. A method comprising: accessing, with one or more processors, a first image of a fluid receiver including a fluid, wherein the fluid includes blood and non-blood components; determining, with the one or more processors, a first amount of the blood component in the fluid receiver based on a color parameter of a region of the first image analyzed by the one or more processors, wherein the blood and non-blood components are represented in the region of the first image; determining, with the one or more processors, a first error based on the first amount of the blood component; and displaying, on a display, the first amount of the blood component and the first error.

2. The method of claim 1, wherein the first error is greater at greater amounts of the first-blood component.

3. The method of claim 1, further comprising: accessing, with the one or more processors, a second image of the fluid receiver, wherein the fluid includes blood and non-blood components; determining, with the one or more processors, a second amount of the blood component in the fluid receiver and a second error based on a color parameter of a region of the second image analyzed by the one or more processors, wherein the blood and non-blood components are represented in the region of the second image; updating, with the one or more processors, an analysis of an aggregate amount of the blood component and an aggregate error based upon the first and second amounts of the blood components and the first and second errors; and displaying, on the display, the aggregate amount of the blood component and the aggregate error.

4. The method of claim 3, further comprising: classifying each the first and second amounts of the blood component into one of multiple subgroups; and applying one of the first and second errors to additional blood component amounts common to a respective one of the subgroups.

5. The method of claim 4, wherein the step of updating the analysis of the aggregate error further comprises aggregating a magnitude of the errors and corresponding standard deviation values.

6. The method of claim 3, further comprising: determining, with the one or more processors, a blood-related biological status of a patient based on the analysis of the aggregate amount of the blood component and the aggregate error; and providing, on the display, recommended actions based on the blood-relate biological status of the patient.

7. The method of claim 1, further comprising providing a notification, on the display, when the first amount the blood component, in view of the first error, is outside of a threshold range or amount.

8. The method of claim 1, further comprising displaying, on the display, a basis of error determination as values of Bland-Altman limits of agreement.

9. The method of claim 1, further comprising providing, on the display, textual indicia indicating a basis of error determination.

10. The method of claim 1, further comprising assessing error models generated for different patient population types, wherein the determined first error is further based on the error models.

11. The method of claim 1, further comprising providing the first error based on a parametric model determined with machine learning.

12. The method of claim 1, wherein the step of displaying further comprises displaying the first amount of the blood component and the first error in qualitative colors based on a corresponding patient risk level.

13. The method of claim 1, wherein the color parameter includes at least one of a redness intensity value, a greenness intensity value, and a blueness intensity value.

14. The method of claim 1, further comprising determining, with the one or more processors, the first error further based on at least one patient characteristic, wherein the at least one patient characteristic includes at least one of patient genetics, patient weight, patient age, patient height, patient race, and patient diet.

15. The method of claim 1, further comprising determining, with the one or more processors, the first error further based on at least one medical procedure characteristic, wherein the at least one medical procedure characteristic includes at least one of surgery type, blood loss location, and localization of blood loss.

16. A method comprising: accessing, with one or more processors, a first image of a fluid receiver including a fluid, wherein the fluid includes blood and non-blood components; determining, with the one or more processors, an amount of the blood component in the fluid receiver based on a color parameter of a region of the first image analyzed by the one or more processors, wherein the blood and non-blood components are represented in the region of the first image; determining, with the one or more processors, an error based on the amount of the blood component, wherein the error is a range of possible estimated amounts of the blood component; and providing a notification, on a display, when a value within the range of possible estimated amounts of the blood component is outside of a threshold range or amount.

17. The method of claim 16, further comprising: classifying the amount of the blood component into one of multiple subgroups; and applying the error designated to the one of the subgroups.

18. The method of claim 16, further comprising providing, on the display, textual indicia indicating a basis of determination of the error.

19. A method comprising: accessing, with one or more processors, a first image of a fluid canister including a first fluid, wherein the first fluid includes blood and non-blood components; accessing, with the one or more processors, a second image of a surgical sponge including a second fluid, wherein the second fluid includes blood and non-blood components; determining, with the one or more processors, a first amount of the blood component in the fluid canister and a first corresponding error based on a color parameter of a region of the first image analyzed by the one or more processors, wherein the blood and non-blood components are represented in the region of the first image; determining, with the one or more processors, a second amount of the blood component in the surgical sponge and second corresponding error based on a color parameter extracted from a region of the second image, wherein the blood and non-blood components are represented in the region of the second image; updating, with the one or more processors, an analysis of an aggregate amount of the blood component and an aggregate error associated with blood loss, based upon the first and second amounts of the blood components and the first and second errors; and providing information derived from the analysis of the aggregate amount of the blood component and the aggregate error.

20. The method of claim 19, further comprising: classifying each the first and second amounts of the blood component into one of multiple subgroups; and applying the corresponding first and second errors to additional samples common to the respective one of the subgroups.